Automated Design Format Conversion System
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Solution Overview
Problem
Existing digital design applications lack the ability to efficiently convert designs between different formats, such as deck-format and document-format designs, while maintaining the integrity and usability of the content.
Innovation Solution
A computer-implemented method and system that processes a source design in one format to identify transferable design elements, generates revised design elements based on the target format, and creates a target design, allowing seamless conversion between deck-format and document-format designs.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If manual conversion between design formats is performed, then content integrity can be maintained through careful editing, but user time and effort are significantly increased
Solution Approach 1:
The patent replaces manual mechanical editing operations with an automated system that uses machine learning models to perform format conversion. The system automatically identifies design elements in the source format, determines their semantic meaning, and generates corresponding elements in the target format, eliminating the need for manual copy-paste and reformatting operations while maintaining content integrity
Solution Approach 2:
The patent introduces an intermediary processing layer that acts as a mediator between source and target formats. This intermediary system uses design element identification, semantic analysis, and generation models to translate content between formats, preserving the meaning and structure of the original content while adapting it to the target format's requirements
2Productivity
If automated format conversion is implemented, then conversion speed is improved, but accuracy of design element transfer deteriorates
Solution Approach 1:
The patent divides the conversion process into distinct sequential stages: design element identification, semantic analysis, and design element generation. Each stage focuses on a specific aspect of the conversion, allowing the system to maintain high accuracy at each step while achieving fast overall conversion through parallel processing and optimized algorithms
Solution Approach 2:
The patent incorporates feedback mechanisms where the system analyzes the semantic meaning of identified design elements and uses this information to guide the generation of accurate target elements. The feedback loop ensures that the generated elements faithfully represent the source content's meaning and intent, maintaining high accuracy in the automated conversion process
3Device complexity
If format-specific design elements are directly transferred, then conversion process is simplified, but adaptability to target format requirements is reduced
Solution Approach 1:
The patent applies local quality by analyzing each design element's semantic meaning and generating target elements with properties specifically adapted to the target format's requirements. Instead of applying a uniform conversion rule to all elements, the system customizes the generation process for each element type and its contextual meaning, ensuring optimal adaptability to the target format while maintaining a relatively simple overall process
Data Source
AI summary
Described herein is a computer-implemented method, system, and computer readable media for converting a source design in a first design category to a target design in a second design category. The method includes: processing the source design to identify a set of transfer design elements from the source design; generating a set of revised design elements based at least on the set of transfer design elements and the second design category; and generating the target design based on the set of revised design elements.